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Senior Manager Data Analytics Jobs in Puerto Rico

... , hub, or media datasets). * Familiarity with AI/ML concepts and data preparation for modeling. * Experience using Python or R for analytics and data manipulation. * Understanding of pharma ...

Tax Analyst Senior

San Juan, PR · On-site

$55K - $60K/yr

DECA Analytics, LLC is a Puerto Rico-based boutique advisory firm specializing in the unique ... We manage all ongoing incentives and operational compliance filings required for operating within ...

Tax Analyst Senior

San Juan, PR · On-site

$55K - $60K/yr

DECA Analytics, LLC is a Puerto Rico-based boutique advisory firm specializing in the unique ... We manage all ongoing incentives and operational compliance filings required for operating within ...

Tax Analyst Senior

San Juan, PR · On-site

$60K - $70K/yr

DECA Analytics, LLC is a Puerto Rico-based boutique advisory firm specializing in the unique ... We manage all ongoing incentives and operational compliance filings required for operating within ...

PR · On-site

Escalate non-compliance issues to senior management as needed. * Maintain up-to-date knowledge of ... Exceptional attention to detail and strong analytical skills * Ability to work independently and as ...

Industry/Sector Not Applicable Specialism Oracle Management Level Senior Manager & Summary A career ... Analyzing detailed Lead-to-Revenue processes to identify improvement opportunities; and ...

Consertus is a global capital program management and advisory firm that combines deep human ... We are looking for a driven Jr. Data Analyst to join our consulting team and support the delivery ...

Consertus is a global capital program management and advisory firm that combines deep human ... We are looking for a driven Jr. Data Analyst to join our consulting team and support the delivery ...

PR

$48/hr

How about this one? We're seeking a Sr Data Engineer/ Scientist to work at a premier biotechnology ... This role drives advanced analytics, machine learning, and AI initiatives across manufacturing and ...

How about this one? We're seeking a Sr Data Engineer/ Scientist to work at a premier biotechnology ... This role drives advanced analytics, machine learning, and AI initiatives across manufacturing and ...

Senior Engineer

Juncos, PR

$101K - $139K/yr

... management. This role serves as the visual inspection technical expert across manual, semi ... The successful candidate will leverage scientific expertise, data analytics, digital technologies ...

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Senior Manager Data Analytics information

What are the key skills and qualifications needed to thrive as a Senior Manager Data Analytics, and why are they important?

To thrive as a Senior Manager Data Analytics, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and several years of analytics experience. Proficiency with analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as experience with data warehousing systems, is essential. Strong leadership, strategic thinking, and communication skills enable you to guide teams and translate complex findings into actionable business insights. These competencies are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

What does a Senior Manager Data Analytics do?

A Senior Manager Data Analytics leads teams that analyze large sets of data to help organizations make informed business decisions. They develop analytics strategies, oversee data projects, and ensure the quality and integrity of data-driven insights. This role often involves collaborating with other departments, mentoring analysts, and presenting key findings to senior leadership. Senior Managers in this field need strong technical skills, leadership abilities, and business acumen to drive impactful results.

How does a Senior Manager of Data Analytics typically collaborate with cross-functional teams within an organization?

Senior Managers of Data Analytics frequently work alongside cross-functional teams such as IT, product development, marketing, and finance to ensure that data-driven insights align with business objectives. They are responsible for translating complex analytical findings into actionable recommendations and communicating these insights clearly to both technical and non-technical stakeholders. Regular collaboration often involves leading meetings, setting project priorities, and ensuring data initiatives are integrated smoothly with ongoing business strategies. This collaborative environment fosters innovation and helps drive organizational growth.

What is the difference between Senior Manager Data Analytics vs Data Analyst?

AspectSenior Manager Data AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership roles, strategic planning, team managementData collection, analysis, reporting
Employer & Industry UsageCorporate, finance, healthcare, tech companiesVarious industries, including marketing, finance, tech
Common Search & ComparisonOften compared for leadership and strategic rolesCompared for technical and analytical skills

The main difference between Senior Manager Data Analytics and Data Analyst lies in their responsibilities and experience level. Senior Managers focus on strategic oversight, team leadership, and decision-making, while Data Analysts handle data collection, analysis, and reporting at a more technical level. Senior Managers typically have more experience and credentials, working in leadership roles within organizations across various industries.

What are popular job titles related to Senior Manager Data Analytics jobs in Puerto Rico? For Senior Manager Data Analytics jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Senior Manager Data Analytics jobs in Puerto Rico look for? The top searched job categories for Senior Manager Data Analytics jobs in Puerto Rico are:
What cities in Puerto Rico are hiring for Senior Manager Data Analytics jobs? Cities in Puerto Rico with the most Senior Manager Data Analytics job openings:

Data Analyst Pharmaceutical Industry

Julius 2 Grow

Remote

Full-time

Posted 15 days ago


Job description

Work Type: Full-time, permanent
Location: 100% Remote
Reporting Line: International teams in the US and Europe
Language Requirement: Advanced English (must-have)
Time Zone Preference: US East Coast

Role Overview

We are seeking a highly analytical and detail-oriented Data Analyst to support pharmaceutical brand, commercial (marketing), and analytics teams. This role plays a critical technical function by connecting healthcare data with media and marketing insights to drive clear, actionable business outcomes.

The ideal candidate is comfortable working with complex and imperfect data, applies strong statistical reasoning, and can translate sophisticated analyses into compelling insights for both technical and non-technical stakeholders. This is a fully remote role, collaborating closely with cross-functional teams across the US and Europe.

Key Responsibilities
  • Perform advanced SQL-based data transformations, integrating multiple internal and external data sources (e.g., claims, media, CRM, EHR-derived datasets).

  • Define, validate, and govern metrics aligned with pharmaceutical business needs (e.g., brand performance, HCP engagement, patient journeys).

  • Apply statistical analysis to identify trends, key drivers, and ensure analytical rigor in recommendations.

  • Maintain and evolve analytical datasets and workflows as new data is ingested.

  • Conduct in-depth exploratory data analysis (EDA) to uncover patterns, anomalies, and opportunities within complex healthcare datasets.

  • Translate analytical findings into clear, actionable insights tailored to stakeholders across marketing, analytics, strategy, and leadership teams.

  • Manually clean, normalize, and structure data to ensure quality and analytical readiness for deep-dive analyses.

  • Prepare datasets to support advanced analytics, including exploratory and explanatory AI/ML applications.

  • Develop dashboards and data visualizations that clearly communicate insights and support decision-making.

  • Collaborate cross-functionally with data science, technology, media, strategy, and client-facing teams.

  • Document methodologies, assumptions, and data limitations to ensure transparency and reproducibility.

Required Qualifications
  • Bachelors degree in Analytics, Statistics, Mathematics, Data Science, Economics, or a related field.

  • 24 years of experience defining and validating metrics within the pharmaceutical, healthcare, or life sciences industry.

  • Strong SQL proficiency, including complex joins, transformations, and performance optimization.

  • Experience working with cloud data warehouses (e.g., BigQuery).

  • Solid foundation in statistics and analytical reasoning (trend analysis, hypothesis testing, segmentation).

  • Proven experience with exploratory data analysis and large, complex datasets.

  • Ability to simplify complex data and insights for diverse audiences.

  • Experience with data visualization tools (Tableau, Power BI, Looker, or similar).

  • Strong collaboration skills and experience working with cross-functional teams.

  • Advanced English communication skills (required).

Preferred Qualifications
  • Experience with pharmaceutical commercial or media data (claims, prescriptions, CRM, hub, or media datasets).

  • Familiarity with AI/ML concepts and data preparation for modeling.

  • Experience using Python or R for analytics and data manipulation.

  • Understanding of pharma compliance, privacy, and data governance.

  • Previous experience working remotely with distributed, international teams across multiple time zones.

Key Competencies
  • Strong analytical rigor and attention to detail

  • Business-oriented problem-solving mindset

  • Clear, concise communication skills

  • Comfort working with ambiguity and imperfect data

  • Curiosity and continuous learning mentality

  • Team-oriented and collaborative approach